Graduate Data Analyst Intern– Operations & Supply Chain

** By joining Bio-Techne, you’ll join a company with a powerful and positive purpose of enabling cutting-edge research in Life Sciences and Clinical Diagnostics. Bio-Techne, and all of its brands, provides tools for researchers to further treat and prevent disease worldwide.
** Pay Range:$16.80 - $23.10
** Graduate Data Analyst Intern (Master’s) – Operations & Supply Chain

Location:

Minneapolis
**** Pay Rate:$24/hr
**** Company Overview:
** As a Graduate Data Analyst Intern – Operations & Supply Chain, you will take ownership of real analytics work that directly influences operational decisions across manufacturing, planning, inventory, and fulfillment. This role is designed specifically for Master’s students who want hands-on experience working with enterprise-scale data, ERP-driven processes, and real execution constraints — not hypothetical case studies. You will be treated as a junior member of the analytics team, with clear deliverables, feedback, and accountability.
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* Position Summary:

** As a Graduate Data Analyst Intern – Operations & Supply Chain, you will support real, high-impact analytics work that directly influences operational decision-making. This role is designed for graduate students looking to apply analytical skills to complex, real-world supply chain challenges. You will work closely with experienced analysts and supply chain leaders to develop dashboards, analyze operational data, and help improve visibility across inventory, demand, and execution performance.

This internship emphasizes learning by doing, with exposure to enterprise data, ERP-driven processes, and cross-functional problem solving.
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* Key Responsibilities:

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* • Analytics & Reporting Ownership:
Design, build, and maintain analytical dashboards and data models using Power BI, SQL, and Excel to support critical supply chain metrics, including inventory health, backlog, on-time delivery (OTD), and production flow. Ensure outputs are accurate, scalable, and decision-ready.  
• Supply Chain Data Analysis:
Analyze complex datasets from ERP and MRP systems, demand plans, and operational reports to identify trends, risks, and root causes of performance gaps. Translate findings into clear insights that support planning and execution decisions.  
• Inventory & Planning Insights:
Support inventory planning and forecasting efforts by analyzing usage patterns, supply variability, and demand signals. Help surface inventory risks such as shortages, excess, and misalignment between demand, supply, and production constraints.  
• MRP & Master Data Analysis:
Develop an understanding of how BOM structures, lead times, lot sizes, and planning parameters impact operational outcomes. Assist in validating data inputs and analyzing MRP signals to improve planning accuracy and execution reliability.  
• Operational Problem Solving:
Contribute to high-impact analytics initiatives focused on improving execution performance, reducing decision noise, and increasing clarity for planning, manufacturing, and operations teams. Support structured problem solving using data-driven approaches.  
• Automation & Process Improvement:
Assist in streamlining manual reporting and improving data consistency by supporting automation, standardization, and improved data pipelines, helping enable faster and more reliable decision-making.  
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Cross-Functional Collaboration:

Work closely with stakeholders across manufacturing, planning, customer service, logistics, and analytics to understand operational workflows and ensure analytics outputs are aligned to real execution needs.  
• Documentation & Knowledge Sharing:
Document analytical logic, assumptions,  definitions, and learnings to support repeatable, scalable, and well-governed analytics solutions within the supply chain analytics ecosystem.
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* Required Qualifications:

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* • Currently enrolled in a Master’s degree in Supply Chain, Operations, Business Analytics, Industrial Engineering, Finance, or a related field  
• Strong analytical mindset with demonstrated interest in operations, manufacturing, or supply chain analytics  
• Strong proficiency in Excel and hands-on experience with SQL and/or Power BI  required  
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